Evidence map›Paper›PMID 22852842›Full record

SynthesisGenetic testing and molecular biomarkers2012

Epidermal growth factor 61A>G polymorphism is associated with risk of hepatocellular carcinoma: a meta-analysis.

Zhiping Yang, Qiong Wu, Yongquan Shi, Yongzhan Nie, Kaichun Wu, Daiming Fan

Abstract readMeta-Analysis
In one paragraph

Synthesis in Genetic testing and molecular biomarkers, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Epidermal growth factor, from gene organization to bedside.Seminars in cell & developmental biology · 2014
    Review
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zhiping YangState Key Laboratory of Cancer Biology and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi'an, China.
Qiong Wu
Yongquan Shi
Yongzhan Nie
Kaichun Wu
Daiming Fan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between hepatocellular carcinoma (HCC) and the 61A>G polymorphism in the epidermal growth factor (EGF) gene has been analyzed in several studies, but results have been inconsistent. The aim of this study was to integrate previous findings and explore whether this polymorphism is associated with susceptibility to HCC. A meta-analysis was performed by searching PubMed, Web of Science, and Cochrane Library databases. Data were extracted using predefined form and pooled odds ratios (OR) with 95% confidence intervals (CI) and were calculated to evaluate the strength of this association. Five studies involving 690 cases, 514 healthy controls, and 1419 controls with cancer-free liver diseases were identified. On the basis of healthy controls, the significant main effects on HCC risk were observed in a heterozygote comparison (OR=1.76, 95% CI 1.07-2.90, p=0.02) and a dominant genetic model (OR=1.65, 95% CI 1.03-2.66, p=0.04). On the basis of the controls with cancer-free liver diseases, a significantly increased risk of HCC was found in all the genetic models. Subgroup analyses stratified by ethnicity and etiology of HCC also showed positive associations. The EGF 61G allele is a risk factor for developing HCC without the influence of ethnic and etiological diversity.

Indexed as

Carcinoma, HepatocellularEpidermal Growth FactorGenetic Predisposition to DiseaseGenotypeHumansLiver NeoplasmsPolymorphism, GeneticRisk FactorsEpidermal Growth Factor

Identifiers

PMID22852842
PMCPMC3438803

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.